This Week in Neo4j – Graph Embeddings, Confluent with Aura, Intro Video, Liquibase, Data Stack Show

Hello, everyone! Don’t miss our free hands-on training sessions (around two hours each day) from June 7 – 11. All folks who register for NODES can attend these sessions (scroll down for details). In this week’s episode, we thank Alberto… Read more →

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Neo4j Graph Data Science Library 1.6: Fastest Path to Production

Check out the new features in the Neo4j graph data science library v1.6, including improved graph embeddings and better supervised ML pipelines.

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This Week in Neo4j – Twitchverse, Java Drivers, Encryption, Power BI, Machine Learning, Metadata

Hello, everyone! Don’t miss our free hands-on training sessions the week before NODES 2021. All folks who register for NODES can attend these sessions (scroll down for details). In this week’s episode, Tomaz Bratanic provides a comprehensive tutorial for setting… Read more →

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This Week in Neo4j: Batch vs. Stream, UX Survey, Kafka Example, Jupyter/Docker for Data Science, Deep Learning

Hello, everyone! We at Neo4j are working to continually improve the UX experience for our users. If you have the time, please consider meeting with us to discuss your experience with our products and what you would like to see… Read more →

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Top 5 Graph Analytics Takeaways from Gartner’s Data & Analytics Summit

Discover the top 5 graph analytics takeaways from Gartner’s Data & Analytics Summit, from creating context to improving communication.

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The insideBIGDATA IMPACT 50 List for Q2 2021

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Leading the Global Growth of Graphs: The 5-Minute Interview with GraphAware

Read this interview with Michal Bachman, the CEO of GraphAware, who discusses their use of graph technology.

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The Future of AI: Machine Learning and Knowledge Graphs

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Graphs for Artificial Intelligence and Machine Learning

Discover how graph technology is changing the artificial intelligence and machine learning landscape with graph theory and algorithms.

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This Week in Neo4j – English WordNet Graph, Supervised Machine Learning, Using Neo4j with GraalVM

Hi everyone, The big graph news of this week is the release of version 1.5 of the Graph Data Science Library. Alicia Frame and Amy Hodler give us the lowdown, including the first supervised machine learning algorithms in the library.… Read more →

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Driving Innovation and Powering Advanced Analytics with Neo4j

Neerav Vyas, Realogy, discusses the value of using Neo4j to strengthen lead conversion, user experience and agent management.

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insideBIGDATA Releases IMPACT 50 List for Q1 2021

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21 Reading Recommendations for 2021

Check out the 21 books to add to your 2021 reading list in 2021, on topics including graph technology and AI/machine learning.

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The Top 7 Neo4j Webinars of 2020

Check out the top Neo4j webinars from 2020, exploring key topics like human trafficking, responsible AI, graph data science and more.

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Evolving Your Application of GDS Technology

Discover how graph data science helps you make better decisions, increase quality predictions and creat new ways to innovate and learn.

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Updated GraphAcademy Course: Using a Machine Learning Workflow for Link Prediction

Discover what to expect from the updated GraphAcademy course: Using a Machine Learning Workflow for Link Prediction.

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